Lead ML Scientist

Updated on 5/11/2024



201-500 employees

Machine learning-driven drug discovery and development

Data & Analytics
AI & Machine Learning

Senior, Expert

San Bruno, CA, USA

Required Skills
  • Ph.D. in computer science, machine learning, computational biology, systems biology, or a related discipline
  • Extensive hands on experience developing ML methods for omics data, especially single-cell RNA-seq data
  • Hands on experience analyzing single-cell RNA-seq data, in particular familiarity with the scverse ecosystem
  • Experience with spatial transcriptomics and/or proteomics
  • Some understanding of human physiology or disease biology (e.g. neurosciences, cancer biology)
  • Familiarity with data from CRISPR-based experiments (e.g. perturb-seq)
  • Strong programming skills in scientific programming languages (i.e., Python)
  • Committed to writing well-commented code and documentation, and familiarity with coding best practices (i.e. version control, code review)
  • Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions
  • Publication record of meaningful contributions to high-quality work in relevant computational biology, systems biology, life sciences, or biomedical venues
  • Passion for making a difference in the world
  • Develop ML methods for omics readouts in domains such as single cell transcriptomics, spatial omics, and multi-omics
  • Impact target prioritization efforts, advance understanding of diseases, and aid in the development of new treatments
  • Build cutting-edge ML methods to address company needs for in-house generated datasets and human cohort data
  • Collaborate with cross-functional team to identify therapeutic targets and develop drugs
  • Contribute to insitro's culture, strategic direction, and outcomes

Insitro, a data-driven drug discovery and development company, integrates machine learning, human genetics, and high-throughput biology. This innovative approach aims to revolutionize the traditional methods of drug discovery, by enhancing the prediction and understanding of human cell-derived disease models, ultimately aiming to reduce development costs and time.

Company Stage

Series C

Total Funding



South San Francisco, California



Growth & Insights

6 month growth


1 year growth


2 year growth



Excellent medical, dental, and vision coverage

Excellent mental health and well-being support

Open vacation policy

Access to free onsite baristas & cafe with daily lunch and breakfast

Access to free onsite fitness center

Commuter benefits

Paid parental leave

Competitive pay and 401(k) matching

Flexible work schedule (on site and remote)